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Home/Authors/Geng Hong

Geng Hong

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×3Info Retrieval×1AI×1

Frequent co-authors

Min Yang3×
Xudong Pan2×
Jiaqi Luo1×
Songyang Peng1×
Jiarun Dai1×
Zhile Chen1×

Research Timeline

2026
Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search

The paper introduces Tree structured Injection for Payloads (TIP), a novel black-box attack framework that reliably generates stealthy injection payloads to seize control of LLM agents utilizing the Model Context Protocol (MCP), even when defenses are present.

Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation

This paper systematically analyzes the resilience of LLM-enhanced search engines against black-hat SEO attacks, finding that while they block most traditional attacks, they remain vulnerable to sophisticated LLM-generated query manipulations.

AgentGuard: An Attribute-Based Access Control Framework for Tool-Use LLM-Based Agent

AgentGuard is an attribute-based access control framework designed to mitigate severe security risks, such as privacy leakage and system compromise, in tool-using LLM-based agents.

Highlighted terms show continued research focus across papers

Papers

cs.CRRecentMay 27, 2026

AgentGuard: An Attribute-Based Access Control Framework for Tool-Use LLM-Based Agent

Jiaqi Luo, Songyang Peng, Jiarun Dai, Zhile Chen +5 more

AgentGuard is an attribute-based access control framework designed to mitigate severe security risks, such as privacy leakage and system compromise, in tool-using LLM-based agents.

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cs.CRcs.IRRecentMar 26, 2026

Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation

Pei Chen, Geng Hong, Xinyi Wu, Mengying Wu +5 more

This paper systematically analyzes the resilience of LLM-enhanced search engines against black-hat SEO attacks, finding that while they block most traditional attacks, they remain vulnerable to sophis…

View →
cs.CRcs.AIRecentMar 25, 2026

Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search

Yulin Shen, Xudong Pan, Geng Hong, Min Yang

The paper introduces Tree structured Injection for Payloads (TIP), a novel black-box attack framework that reliably generates stealthy injection payloads to seize control of LLM agents utilizing the M…

View →